Extremal fuzzy dynamic systems : theory and applications

In this book the author presents a new approach to the study of weakly structurable dynamic systems. It differs from other approaches by considering time as a source of fuzzy uncertainty in dynamic systems. It begins with a thorough introduction, where the general research domain, the problems, and...

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Yazar: Sirbiladze, Gia, 19..-
Materyal Türü: Livre numérique
Dil:Anglais
Baskı/Yayın Bilgisi: New York, NY : Springer New York 2013.
Cham : Springer Nature
Seri Bilgileri:IFSR International Series in Systems Science and Systems Engineering 28
Online Erişim:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Not: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Extremal Fuzzy Dynamic Systems, Texte imprimé, 9781461442493
• Extremal Fuzzy Dynamic Systems, Texte imprimé, 9781461442516
• Extremal Fuzzy Dynamic Systems, Texte imprimé, 9781489996602
İçindekiler:
  • Fuzzy Measures and Fuzzy Statistics: Its Probability Representations
  • Extended Extremal Fuzzy Measures
  • Extended Extremal Fuzzy Measures on Compositional Product of Measurable Spaces
  • Modeling of Extremal and Controllable Extremal Fuzzy Processes
  • Identification of  Fuzzy-Integral Models of Extremal fuzzy Processes
  • Optimization of Continuous Controllable Extremal Fuzzy Processes and the Choice of Decisions
  • Problems of States Estimation (Filtration) of Extremal Fuzzy Processes. - Conclusions on the Parts I-VII
  • Algorithms and software for Discrete Possibilistic EFDS
  • Application  of the Discrete Possibilistic Model  of the EFDS in the Evaluation of  Expert Knowledge Streams
  • Application: Forecasting of  Increasing Financial Risks (Credit Risks) of Georgia-based Organization (LTD- Fractal ) by the Discrete Possibilistic EFDS s Finite Model.-  General Conclusions
  • Bibliography.